"If it's shared, it's vulnerable."
At KubeCon + CloudNativeCon China, Zvonko Kaiser shared how Confidential Containers extend trust from silicon to service to protect AI workloads on Kubernetes.
How is your team handling confidential GPU workloads in production?
